3 months ago
Base Salary
$112k - $176k/yr
Responsibilities
- Design and build backend data pipelines that ingest, validate, normalize, enrich, and store high-volume raw data.
- Develop ETL/ELT workflows and processing jobs for batch, streaming, scheduled, near-real-time, and event-driven data flows.
- Implement Java-based services and data processing applications for large-scale data acquisition.
- Improve data quality through schema validation, deduplication, enrichment, monitoring, retries, and controlled backfills.
- Contribute to observability for pipeline health, throughput, latency, cost, and error rates.
- Collaborate with product, data, and platform teams to turn business requirements into reliable technical solutions.
- Help design, plan, and execute the roadmap for next-generation data acquisition technologies.
- Troubleshoot pipeline failures, data issues, performance bottlenecks, and operational incidents.
Requirements
- At least 3 years of professional software engineering experience.
- Production experience building and operating data pipelines, ETL/ELT workflows, or data processing systems.
- Strong proficiency with Java and object-oriented programming.
- Hands-on experience with Apache Beam, Apache Airflow, Spark, Google Dataflow, DataProc, or similar technologies.
- Experience with streaming technologies such as Kafka or Google Pub/Sub.
- Understanding of batch and streaming processing, data modeling, schema design, and data quality practices.
- Experience building production backend services, APIs, or distributed systems.
- Experience with at least one cloud provider, preferably Google Cloud Platform.
- Practical knowledge of SQL, large-scale storage and query systems, logging, monitoring, and alerting.
- Ability to troubleshoot pipeline failures, data issues, performance bottlenecks, and operational incidents.
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- Experience with Kubernetes, especially GKE or EKS, is preferred.
- Experience with Snowflake, BigQuery, Starburst/Trino, or similar data warehouses and query engines is preferred.
- Experience with Terraform or other infrastructure-as-code tools is preferred.
- Exposure to CRM systems, email and calendar APIs, third-party feeds, or large external datasets is preferred.
Benefits
- Hybrid work arrangement.
- Comprehensive benefits and holistic mind, body, and lifestyle well-being programs.
- Software-based assessment may be part of the recruitment process.
Tech Stack
Apache AirflowApache BeamApache KafkaApache SparkGoogle BigQueryGoogle CloudGoogle Cloud PlatformJavaKubernetesSnowflakeSQLTerraform
Categories
BackendData Engineering
About ZoomInfo
ZoomInfo builds a subscription go-to-market platform for B2B sales and marketing teams, combining company and contact data, intent signals, and sales engagement tools. Its products help organizations find prospects, align GTM motions, and automate outreach, and are used by more than 35,000 companies. The public company (NASDAQ: GTM; also traded in Frankfurt) is headquartered in Vancouver, Washington, and grew out of DiscoverOrg’s acquisition of ZoomInfo.